p6xer MCP Server

P6XER MCP Server

mcp-name: io.github.osama-ata/p6xer-mcp-server

A full-featured Model Context Protocol (MCP) server for Primavera P6 XER files, built on PyP6XER.

Exposes 13 Tools, 3 Resources, and 2 Prompts so any MCP-compatible AI client (Claude Desktop, Claude Code, Cursor, etc.) can interactively parse, query, and analyze .xer schedule files.

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🚀 Features

🔧 Tools (13)

📋 Resources (3)

💬 Prompts (2)

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� Install from Store

Via PyPI (uvx — no install needed)

uvx p6xer-mcp-server

Via PyPI (pip)

pip install p6xer-mcp-server

p6xer-mcp-server

Via Smithery

Search for p6xer-mcp-server on smithery.ai and click Install. It will generate the correct Claude Desktop config automatically.

Via GitHub MCP Registry

The server is listed in the GitHub MCP Registry. In Claude Code:

claude mcp add p6xer -- uvx p6xer-mcp-server

Claude Desktop config (after PyPI install)

{

"mcpServers": { "p6xer": { "command": "uvx", "args": ["p6xer-mcp-server"] } } }

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�📦 Installation

# Clone the repo

git clone https://github.com/osama-ata/p6xer-mcp-server.git cd p6xer-mcp-server

Install with uv (recommended)

uv sync

Or with pip

pip install "mcp[cli]>=1.6.0,<2.0.0" pyp6xer

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🏃 Running

Development / MCP Inspector:

uv run mcp dev src/p6xer_mcp_server/server.py

Stdio (Claude Desktop / Claude Code):

uv run p6xer-mcp-server

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🔌 Claude Desktop

Add to claude_desktop_config.json:

{

"mcpServers": { "p6xer": { "command": "uvx", "args": ["p6xer-mcp-server"] } } }

Config file locations:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

🔌 Claude Code (CLI)

claude mcp add p6xer -- uvx p6xer-mcp-server

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💬 Example Prompts

Once connected:

Parse project.xer and give me an overview of all projects

What are all the critical path activities, sorted by start date?

Run a DCMA schedule quality check on project.xer

Calculate earned value metrics — what are the CPI and SPI?

Show all resource assignments for "John Smith"

What are the predecessors and successors of activity A1000?

List all over-allocated labor resources

Generate an executive summary report for project.xer

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📊 Tool Reference

Filter parameters (most tools accept)

• project_id – numeric P6 project ID (e.g. "1234")
• project_short_name – project short name string (e.g. "PROJ1")

Status codes

TK_NotStart · TK_Active · TK_Complete

Task types

TT_Task · TT_Mile · TT_FinMile · TT_WBS

Resource types

RT_Labor · RT_Mat · RT_Equip

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🗂️ Project Structure

p6xer-mcp-server/

├── src/ │ └── p6xer_mcp_server/ │ ├── init.py │ └── server.py # All tools, resources, and prompts ├── manifest.json # MCPB bundle manifest ├── mcp.json # MCP registry metadata ├── smithery.yaml # Smithery registry configuration ├── pyproject.toml └── README.md

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📋 Requirements

• Python ≥ 3.10
• mcp[cli] >= 1.6.0, < 2.0.0
• pyp6xer >= 1.16.0

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📄 License

MIT

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🚢 Publishing to PyPI (GitHub Actions + Trusted Publishing)

This repository includes a release workflow at .github/workflows/publish-to-pypi.yml based on the PyPA guide and pypa/gh-action-pypi-publish.

1) Configure Trusted Publishers

Create trusted publishers for this exact workflow file:

• PyPI: https://pypi.org/manage/account/publishing/
• TestPyPI: https://test.pypi.org/manage/account/publishing/

Use these values:

• Owner: osama-ata
• Repository: p6xer-mcp-server
• Workflow file: publish-to-pypi.yml
• Environment: pypi (for PyPI), testpypi (for TestPyPI)
• Project name: p6xer-mcp-server

2) Create GitHub Environments

In repository settings, create two environments:

• pypi
• testpypi

Recommended security setup:

• Require manual approval for pypi
• No approval required for testpypi

3) Build locally (optional sanity check)

python -m pip install --upgrade build twine

python -m build python -m twine check dist/*

4) Release flow

• Push to main: publishes to TestPyPI
• Push tag v* (for example v0.1.1): publishes to PyPI

git tag v0.1.1

git push origin v0.1.1